Qi Shen

760 total citations
41 papers, 462 citations indexed

About

Qi Shen is a scholar working on Literature and Literary Theory, Linguistics and Language and Language and Linguistics. According to data from OpenAlex, Qi Shen has authored 41 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Literature and Literary Theory, 14 papers in Linguistics and Language and 13 papers in Language and Linguistics. Recurrent topics in Qi Shen's work include Multilingual Education and Policy (14 papers), Second Language Learning and Teaching (14 papers) and EFL/ESL Teaching and Learning (11 papers). Qi Shen is often cited by papers focused on Multilingual Education and Policy (14 papers), Second Language Learning and Teaching (14 papers) and EFL/ESL Teaching and Learning (11 papers). Qi Shen collaborates with scholars based in China, United States and Australia. Qi Shen's co-authors include Xuesong Gao, Fangli Xu, Zhihua Wei, Lingfei Wu, Jian Pei, Bo Long, Wenrui Huang, Lian Wang, Yiming Zhang and Yiming Zhang and has published in prestigious journals such as PLoS ONE, Sustainability and Journal of Media Literacy Education.

In The Last Decade

Qi Shen

35 papers receiving 448 citations

Peers

Qi Shen
Comparison fields: 5 of 80
  • Linguistics and Language 175
  • Literature and Literary Theory 140
  • Artificial Intelligence 120
  • Information Systems 110
  • Language and Linguistics 104
Replace William E. Lewis with:
William E. Lewis United States
Mike Kestemont Belgium
William A. Kretzschmar United States
Gilles-Maurice de Schryver Belgium
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Sheila Embleton Canada
J. F. Burrows Australia
Katarzyna Molek‐Kozakowska Poland
Fred Johnson United States
Paul Black Australia
William E. Lewis United States View profile →
Citations per field, relative to Qi Shen
Qi Shen · 1×
Citations per year, relative to Qi Shen
Qi Shen · 1×

Countries citing papers authored by Qi Shen

Since Specialization
Citations

This map shows the geographic impact of Qi Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Shen more than expected).

Fields of papers citing papers by Qi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qi Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qi Shen. The network helps show where Qi Shen may publish in the future.

Co-authorship network of co-authors of Qi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shen. A scholar is included among the top collaborators of Qi Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qi Shen. Qi Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 0
3 2
4 0
5 1
6 20
7 5
8 4
9 13
10 8
11 29
12 6
13 65
14 22
15 2
16 0
17
On Constructivism Theory and Web-based English Teaching
0
18 13
19 14
20 2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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